| 基于小波神经网络的掌纹识别 |
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| 引用本文： | 王艳春,李静辉,夏颖. 基于小波神经网络的掌纹识别[J]. 齐齐哈尔轻工业学院学报, 2010, 0(3): 5-8 |
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| 作者姓名： | 王艳春 李静辉 夏颖 |
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| 作者单位： | 齐齐哈尔大学通信与电子工程学院,黑龙江齐齐哈尔161006 |
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| 摘 要： | 提出了一种基于小波神经网络的掌纹识别方法。首先对掌纹图像经过预处理得到掌纹的感兴趣区域（ROI）,然后利用小波包分解的方法对该区域进行掌纹特征的提取,再利用RBF网络的容错能力和较快的收敛性对掌纹图像加以识别。针对香港理工大学掌纹数据库进行了实验,实验结果证明,本算法可以达到很好的识别效果,为掌握识别提供了一种新途径。
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| 关 键 词： | 感兴趣区域 小波包分解 RBF神经网络 |
Palmprint recognition based on wavelet and neural network |
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| WANG Yan-chun,LI Jing-hui,XIA Ying. Palmprint recognition based on wavelet and neural network[J]. , 2010, 0(3): 5-8 |
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| Authors: | WANG Yan-chun LI Jing-hui XIA Ying |
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| Affiliation: | (College of Communication and Electronic Engineering,Qiqihar University,Heilongjiang Qiqihar 161006,China) |
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| Abstract: | A palmprint recognition method based on wavelet and neural network was proposed.Firstly,palmprint image preprocessing was used to obtain the region of interest.Then wavelet packet decomposition was applied to extract the palmprint feature.At last,the palmprint image was recognized by RBF network with good fault tolerance ability and fast convergence.The experiments were implemented on the Hong Kong Polytechnic University（PolyU） Palmprint Database.The results improved that this algorithm could achieve a good recognition effect and provided a new approach for palmprint recognition. |
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| Keywords: | region of inerest wavelet packet decomposition RBF neural network |
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